Risk Analysis Foundations, Models, and Methods: International Series in Operations Research & Management Science, cartea 45
Autor Louis Anthony Cox Jr.en Limba Engleză Paperback – 7 noi 2012
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Specificații
ISBN-13: 9781461352686
ISBN-10: 1461352681
Pagini: 576
Ilustrații: XV, 556 p.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.86 kg
Ediția:Softcover reprint of the original 1st ed. 2002
Editura: Springer
Colecția International Series in Operations Research & Management Science
Seria International Series in Operations Research & Management Science
Locul publicării:New York, NY, United States
ISBN-10: 1461352681
Pagini: 576
Ilustrații: XV, 556 p.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.86 kg
Ediția:Softcover reprint of the original 1st ed. 2002
Editura: Springer
Colecția International Series in Operations Research & Management Science
Seria International Series in Operations Research & Management Science
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1 Introduction and Basic Risk Models.- 2 Risk Assessment Modeling.- 3 Statistical Risk Modeling.- 4 Causality.- 5 Individual Risk Management Decisions.- 6 Choosing among Risk Profiles.- 7 Multi-Attribute, Multi-Person, and Multi-Period Risks.- 8 Multi-Party Risk Management Decision Processess.- References.
Recenzii
From the reviews:
`The book is well structured and based on the latest references to literature and software, including Web-links. [...]distinguishing characteristics of risk analysis and reltions to other disciplines as well as relations between different models and approaches are clearly presented, which aids the choice of an appropriate risk analysis model. [... The presentation of the material is comprehensible, thanks to the numerous didactic examples. [...] In summary, the book can be highly recommended as an overview on latest trends in risk analysis as well as a source of case studies, for teaching health, safety, and environmental risk analysis.'
OR News, 19 (2003)
"Health risk analysis is considered extensively in this book … many interesting questions (in theory as well as in applications) for operations researchers and management scientists are discussed. … The book contains more than 500 pages and more than 650 references. It is well written and structured, and in particular, the extensive number of examples provided throughout the book give an excellent insight in the topic of health risk analysis." (Stefan Nickel, Zentralblatt MATH, Vol. 1060 (11), 2005)
`The book is well structured and based on the latest references to literature and software, including Web-links. [...]distinguishing characteristics of risk analysis and reltions to other disciplines as well as relations between different models and approaches are clearly presented, which aids the choice of an appropriate risk analysis model. [... The presentation of the material is comprehensible, thanks to the numerous didactic examples. [...] In summary, the book can be highly recommended as an overview on latest trends in risk analysis as well as a source of case studies, for teaching health, safety, and environmental risk analysis.'
OR News, 19 (2003)
"Health risk analysis is considered extensively in this book … many interesting questions (in theory as well as in applications) for operations researchers and management scientists are discussed. … The book contains more than 500 pages and more than 650 references. It is well written and structured, and in particular, the extensive number of examples provided throughout the book give an excellent insight in the topic of health risk analysis." (Stefan Nickel, Zentralblatt MATH, Vol. 1060 (11), 2005)
Notă biografică
Louis Anthony Cox Jr. is a Professor of Business Analytics at the University of Colorado, USA; Chief Digital Intelligence Officer at Entanglement, Inc.; and President of Cox Associates, a Denver-based applied research company specializing in artificial intelligence and machine learning; health, safety, and environmental risk analysis; epidemiology; policy analytics; data science; and operations research. Dr. Cox is Editor-in-Chief of Risk Analysis: An International Journal. He is a member of the National Academy of Engineering, a Fellow of the Institute for Operations Research and Management Science (INFORMS), and a Fellow of the Society for Risk Analysis (SRA). He has authored and co-authored over 200 journal articles and numerous books and chapters in these fields. He holds over a dozen US patents on applications of artificial intelligence, signal processing, statistics, and operations research in telecommunications. His current research interestsinclude computational statistical methods for causal inference in public health risk analysis, data mining, and advanced analytics for risk management, business, and public policy applications.